Simon Osindero

29.6k total citations · 1 hit paper
27 papers, 12.0k citations indexed

About

Simon Osindero is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Simon Osindero has authored 27 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Simon Osindero's work include Neural Networks and Applications (10 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Advanced Neural Network Applications (4 papers). Simon Osindero is often cited by papers focused on Neural Networks and Applications (10 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Advanced Neural Network Applications (4 papers). Simon Osindero collaborates with scholars based in United Kingdom, United States and Canada. Simon Osindero's co-authors include Geoffrey E. Hinton, Yee‐Whye Teh, Chen‐Yu Lee, Max Welling, Edward Meeds, Max Jaderberg, Koray Kavukcuoglu, Tom Schaul, Alexander Sasha Vezhnevets and David Silver and has published in prestigious journals such as Neural Computation, IEEE Transactions on Knowledge and Data Engineering and Cognitive Science.

In The Last Decade

Simon Osindero

26 papers receiving 11.4k citations

Hit Papers

A Fast Learning Algorithm for Deep Belief Nets 2006 2026 2012 2019 2006 2.5k 5.0k 7.5k 10.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Fast Learning Algorithm for Deep Belief Nets
    2006 11.0k citations Geoffrey E. Hinton, Simon Osindero et al. Neural Computation profile →

Peers

Simon Osindero
Comparison fields: 5 of 203
  • Artificial Intelligence 5.0k
  • Computer Vision and Pattern Recognition 4.3k
  • Signal Processing 1.6k
  • Electrical and Electronic Engineering 1.1k
  • Control and Systems Engineering 1.0k
Replace Yee‐Whye Teh with:
Yee‐Whye Teh Singapore
Pascal Vincent Canada
Nikhil R. Pal India
Jianchang Mao United States
Honglak Lee United States
Diederik P. Kingma United States
Mohamed S. Kamel Canada
Xavier Glorot Canada
John Langford United States
Pierre-Antoine Manzagol Canada
Yee‐Whye Teh Singapore View profile →
Citations per field, relative to Simon Osindero
Simon Osindero · 1×
Citations per year, relative to Simon Osindero
Simon Osindero · 1×

Countries citing papers authored by Simon Osindero

Since Specialization
Citations

This map shows the geographic impact of Simon Osindero's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Osindero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Osindero more than expected).

Fields of papers citing papers by Simon Osindero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Osindero. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Osindero. The network helps show where Simon Osindero may publish in the future.

Co-authorship network of co-authors of Simon Osindero

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Osindero. A scholar is included among the top collaborators of Simon Osindero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon Osindero. Simon Osindero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
The origin and function of external representations
2024 ·Adaptive Behavior ·Chrisantha Fernando, Simon Osindero, Dylan Banarse
1
2
Training Compute-Optimal Large Language Models
2022 ·(unknown), (unknown), Trevor Cai, (unknown), (unknown), (unknown), Erich Elsen, Aurelia Guy, (unknown), (unknown), Jordan Hoffmann, (unknown), (unknown), (unknown), Simon Osindero, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Johannes Welbl
0
3
Practical Real Time Recurrent Learning with a Sparse Approximation
2021 ·International Conference on Learning Representations ·Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
3
4
Top-KAST: Top-K Always Sparse Training
2021 ·arXiv (Cornell University) ·Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen
2
5
Multiplicative Interactions and Where to Find Them
2020 ·International Conference on Learning Representations ·Siddhant M. Jayakumar, Jacob Menick, Wojciech Marian Czarnecki, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu
20
6
Meta-Learning Deep Energy-Based Memory Models
2020 ·International Conference on Learning Representations ·Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy Lillicrap
1
7
Small Data, Big Decisions: Model Selection in the Small-Data Regime
2020 ·arXiv (Cornell University) ·Jörg Bornschein, Francesco Visin, Simon Osindero
6
8
Meta-learning by the baldwin effect
2018 ·Proceedings of the Genetic and Evolutionary Computation Conference Companion ·Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
9
9
Understanding Synthetic Gradients and Decoupled Neural Interfaces
2017 ·International Conference on Machine Learning ·Wojciech Marian Czarnecki, Grzegorz Świrszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
6
10
Sobolev Training for Neural Networks
2017 ·Neural Information Processing Systems ·Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Świrszcz, Razvan Pascanu
28
11
FeUdal Networks for Hierarchical Reinforcement Learning
2017 ·arXiv (Cornell University) ·Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu
110
12
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
2016 ·Chen‐Yu Lee, Simon Osindero
262
13
Strategic Attentive Writer for Learning Macro-Actions
2016 ·Neural Information Processing Systems ·Alexander Sasha Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John Agapiou, Koray Kavukcuoglu
17
14
Modeling image patches with a directed hierarchy of Markov random fields
2007 ·Neural Information Processing Systems ·Simon Osindero, Geoffrey E. Hinton
67
15
Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation
2006 ·Cognitive Science ·Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee‐Whye Teh
88
16
A Fast Learning Algorithm for Deep Belief Nets breakdown →
2006 ·Neural Computation ·Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh
11039
17
An Alternative Infinite Mixture Of Gaussian Process Experts
2005 ·Neural Information Processing Systems ·Edward Meeds, Simon Osindero
73
18
Learning Causally Linked Markov Random Fields.
2005 ·International Conference on Artificial Intelligence and Statistics ·Geoffrey E. Hinton, Simon Osindero, (unknown)
19
19
Modelling the Statistics of Natural Images with Topographic Product of Student-t Models
2004 ·Simon Osindero
1
20
Learning Sparse Topographic Representations with Products of Student-t Distributions
2002 ·Neural Information Processing Systems ·Max Welling, Simon Osindero, Geoffrey E. Hinton
99

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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